资源类型：
收录情况：
◇ SCIE
◇ CPCI(ISTP)
文章类型：
作者：
Liu, Y.[1]
*
;
Wang, Y.[2]
;
Pang, Q.[3]
;
Wang, X.[1]
;
Xue, L.[4]
;
Zhang, H.[2]
;
Hu, X.[1]
;
Ma, Z.[1]
;
Deng, H.[5]
;
Yang, Z. Y.[6]
;
Men, Y.[7]
;
Ye, F.[8]
;
Men, K.[9]
;
Qin, J.[10]
;
Bi, N.[1]
;
Zhang, J.[11]
;
Wang, Q.[2]
;
Hue, Z.[7]
;
机构：
[1]Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Radiat Oncol,Natl Canc Ctr, Beijing, Peoples R China
[2]Univ Elect Sci & Technol China, Dept Radiat Oncol, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr,Sch Med,Radiat Oncol Key Lab Sic, Chengdu, Peoples R China
四川省肿瘤医院
[3]Tianjin Med Univ Canc Inst & Hosp, Dept Radiat Oncol, Natl Clin Res Ctr Canc, Key Lab Canc Prevent Therapy, Tianjin, Peoples R China
[4]Chinese Acad Med Sci & Peking Union Med Coll, Dept Pathol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
[5]Univ Elect Sci & Technol China, Dept Diagnost Radiol, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr,Sch Med, Chengdu, Peoples R China
四川省肿瘤医院
[6]Chinese Acad Med Sci & Peking Union Med Coll, Dept Pathol, Natl Canc Ctr, Canc Hosp, Beijing, Peoples R China
[7]Chinese Acad Med Sci & Peking Union Med Coll, Dept VIP Med Serv, Natl Canc Ctr, Canc Hosp,Natl Clin Res Ctr Canc, Beijing, Peoples R China
[8]Chinese Acad Med Sci & Peking Union Med Coll, Dept Diagnost Radiol, Natl Canc Ctr, Canc Hosp,Natl Clin Res Ctr Canc, Beijing, Peoples R China
[9]Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Canc Ctr, Natl Clin Res Ctr Canc, Beijing, Peoples R China
[10]Chinese Acad Med Sci & Peking Union Med Coll, Dept Thorac Surg, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
[11]Beihang Univ, Lab Biomech & Mechanobiol, Minist Educ,Sch Biol Sci & Med Engn, Beijing Adv Innovat Ctr Biomed Engn,Sch Engn Med, Beijing, Peoples R China
出处：
ISSN：
WOS：
中科院(CAS)分区：
最新[2023]版：
大类
|
1 区
医学
小类
|
2 区
肿瘤学
2 区
核医学
JCR分区：
最新[2023]版：
Q1
ONCOLOGY
Q1
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
影响因子：
最新[2023版]
最新五年平均
出版当年[2023版]
出版当年五年平均
出版前一年[2023版]
第一作者：
第一作者机构：
[1]Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Radiat Oncol,Natl Canc Ctr, Beijing, Peoples R China
推荐引用方式(GB/T 7714)：
Liu Y.,Wang Y.,Pang Q.,et al.Multimodality Deep Learning Radiomics Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma after Neoadjuvant Chemoradiotherapy[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2024,120(2):E642-E643.
APA：
Liu, Y.,Wang, Y.,Pang, Q.,Wang, X.,Xue, L....&Hue, Z..(2024).Multimodality Deep Learning Radiomics Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma after Neoadjuvant Chemoradiotherapy.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,120,(2)
MLA：
Liu, Y.,et al."Multimodality Deep Learning Radiomics Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma after Neoadjuvant Chemoradiotherapy".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 120..2(2024):E642-E643
